Multi-target tracking algorithm based on FIR filters

Chang Joo Lee; Kyung Min Min; Hyun Duck Choi; Choon Ki Ahn; Myo Taeg Lim

doi:10.1109/ICCAS.2014.6987546

Multi-target tracking algorithm based on FIR filters

Chang Joo Lee, Kyung Min Min, Hyun Duck Choi, Choon Ki Ahn, Myo Taeg Lim

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This research article proposes a multi-target tracking algorithm by using a finite impulse response (FIR) filter. The advantage of the FIR filter is to observe robust filtering to incorrect data such as model uncertainty and noise, etc. This paper demonstrates robust tracking performance for multi-target tracking using the properties of FIR filter. In order to use FIR structure, all possible paths are constructed and the estimate of each path is chosen as the target through Mahalanobis distance if it is appropriate target.

Original language	English
Title of host publication	International Conference on Control, Automation and Systems
Publisher	IEEE Computer Society
Pages	1112-1116
Number of pages	5
ISBN (Print)	9788993215069
DOIs	https://doi.org/10.1109/ICCAS.2014.6987546
Publication status	Published - 2014 Jan 1
Event	2014 14th International Conference on Control, Automation and Systems, ICCAS 2014 - Gyeonggi-do, Korea, Republic of Duration: 2014 Oct 22 → 2014 Oct 25

Other

Other	2014 14th International Conference on Control, Automation and Systems, ICCAS 2014
Country/Territory	Korea, Republic of
City	Gyeonggi-do
Period	14/10/22 → 14/10/25

ASJC Scopus subject areas

Artificial Intelligence
Computer Science Applications
Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/ICCAS.2014.6987546

Cite this

Lee, CJ, Min, KM, Choi, HD, Ahn, CK & Lim, MT 2014, Multi-target tracking algorithm based on FIR filters. in International Conference on Control, Automation and Systems., 6987546, IEEE Computer Society, pp. 1112-1116, 2014 14th International Conference on Control, Automation and Systems, ICCAS 2014, Gyeonggi-do, Korea, Republic of, 14/10/22. https://doi.org/10.1109/ICCAS.2014.6987546

@inproceedings{ec8a9b3474d542a6831af0608bff487d,

title = "Multi-target tracking algorithm based on FIR filters",

abstract = "This research article proposes a multi-target tracking algorithm by using a finite impulse response (FIR) filter. The advantage of the FIR filter is to observe robust filtering to incorrect data such as model uncertainty and noise, etc. This paper demonstrates robust tracking performance for multi-target tracking using the properties of FIR filter. In order to use FIR structure, all possible paths are constructed and the estimate of each path is chosen as the target through Mahalanobis distance if it is appropriate target.",

keywords = "finite impulse response (FIR) structure, multi-target tracking, state estimation",

author = "Lee, {Chang Joo} and Min, {Kyung Min} and Choi, {Hyun Duck} and Ahn, {Choon Ki} and Lim, {Myo Taeg}",

year = "2014",

month = jan,

day = "1",

doi = "10.1109/ICCAS.2014.6987546",

language = "English",

isbn = "9788993215069",

pages = "1112--1116",

booktitle = "International Conference on Control, Automation and Systems",

publisher = "IEEE Computer Society",

note = "2014 14th International Conference on Control, Automation and Systems, ICCAS 2014 ; Conference date: 22-10-2014 Through 25-10-2014",

}

TY - GEN

T1 - Multi-target tracking algorithm based on FIR filters

AU - Lee, Chang Joo

AU - Min, Kyung Min

AU - Choi, Hyun Duck

AU - Ahn, Choon Ki

AU - Lim, Myo Taeg

PY - 2014/1/1

Y1 - 2014/1/1

N2 - This research article proposes a multi-target tracking algorithm by using a finite impulse response (FIR) filter. The advantage of the FIR filter is to observe robust filtering to incorrect data such as model uncertainty and noise, etc. This paper demonstrates robust tracking performance for multi-target tracking using the properties of FIR filter. In order to use FIR structure, all possible paths are constructed and the estimate of each path is chosen as the target through Mahalanobis distance if it is appropriate target.

AB - This research article proposes a multi-target tracking algorithm by using a finite impulse response (FIR) filter. The advantage of the FIR filter is to observe robust filtering to incorrect data such as model uncertainty and noise, etc. This paper demonstrates robust tracking performance for multi-target tracking using the properties of FIR filter. In order to use FIR structure, all possible paths are constructed and the estimate of each path is chosen as the target through Mahalanobis distance if it is appropriate target.

KW - finite impulse response (FIR) structure

KW - multi-target tracking

KW - state estimation

UR - http://www.scopus.com/inward/record.url?scp=84920154295&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84920154295&partnerID=8YFLogxK

U2 - 10.1109/ICCAS.2014.6987546

DO - 10.1109/ICCAS.2014.6987546

M3 - Conference contribution

AN - SCOPUS:84920154295

SN - 9788993215069

SP - 1112

EP - 1116

BT - International Conference on Control, Automation and Systems

PB - IEEE Computer Society

T2 - 2014 14th International Conference on Control, Automation and Systems, ICCAS 2014

Y2 - 22 October 2014 through 25 October 2014

ER -

Multi-target tracking algorithm based on FIR filters

Abstract

Other

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this